Estimation of a neonatal cardiovascular risk score by biomedical discriminant analysis

R. Hermida, F. Aguado, J. Fernández, D. Ayala, J. Rodríguez-Cervilla, J. M. Fraga
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Abstract

Genetics is a primary factory for the predisposition of a newborn to elevated blood pressure (BP) later in life. The search for an index for this factor, needed to assess, on the neonate, the success of failure of preventive interventions instituted on pregnant women, is discussed. This index could be based on characteristics of BP and heart rate (HR) variability during the first days after birth. In the search for such an index, the systolic and diastolic BP and HR of 150 newborns were automatically monitored at about 30-min intervals for 48 h starting early after birth. The newborns were assigned to a group of either a negative or positive family history of high BP. Circadian characteristics and descriptive statistics for the three circulatory variables were used for classification by a 'monotest', an all-subsets variable selection technique for biomedical discriminate analysis. The monotest is discussed in detail. When the 90% range of systolic BP was used as classifier, the monotest yielded a 69% total classification equivalent to prior criteria.<>
用生物医学判别分析估计新生儿心血管风险评分
遗传因素是导致新生儿日后易患高血压的主要因素。本文讨论了如何寻找这一因素的指数,以便对新生儿评估对孕妇采取预防性干预措施的成败。该指标可以基于出生后第一天的血压和心率(HR)变异性特征。为了寻找这样一个指标,150例新生儿在出生后48小时内,每隔30分钟自动监测收缩压、舒张压和心率。这些新生儿被分为两组,一组有高血压家族史,另一组有高血压家族史。通过“monotest”(一种用于生物医学区分分析的全子集变量选择技术),将三个循环变量的昼夜节律特征和描述性统计数据用于分类。详细讨论了单试验。当收缩压的90%范围被用作分类时,单一测试产生了69%的总分类,相当于先前的标准。
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